scholarly journals Descriptors for High Throughput in Structural Materials Development

2019 ◽  
Vol 8 (4) ◽  
pp. 22 ◽  
Author(s):  
Matthias Steinbacher ◽  
Gabriela Alexe ◽  
Michael Baune ◽  
Ilya Bobrov ◽  
Ingmar Bösing ◽  
...  
Keyword(s):  
High Throughput ◽  
Material Properties ◽  
Functional Materials ◽  
Structural Materials ◽  
Materials Development ◽  
Characterization Techniques ◽  
Classical Characterization ◽  
Short Time ◽  
Characteristic Microstructure ◽  
Intense Process

The development of novel structural materials with increasing mechanical requirements is a very resource-intense process if conventional methods are used. While there are high-throughput methods for the development of functional materials, this is not the case for structural materials. Their mechanical properties are determined by their microstructure, so that increased sample volumes are needed. Furthermore, new short-time characterization techniques are required for individual samples which do not necessarily measure the desired material properties, but descriptors which can later be mapped on material properties. While universal micro-hardness testing is being commonly used, it is limited in its capability to measure sample volumes which contain a characteristic microstructure. We propose to use alternative and fast deformation techniques for spherical micro-samples in combination with classical characterization techniques such as XRD, DSC or micro magnetic methods, which deliver descriptors for the microstructural state.

scholarly journals Parameter Optimization in High-Throughput Testing for Structural Materials

Materials ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3439 ◽  
Author(s):  
Alexander Bader ◽  
Anastasiya Toenjes ◽  
Nicole Wielki ◽  
Andreas Mändle ◽  
Ann-Kathrin Onken ◽  
...  
Keyword(s):  
Design Of Experiments ◽  
High Throughput ◽  
Process Parameters ◽  
Material Properties ◽  
Functional Materials ◽  
Structural Materials ◽  
Major Influence ◽  
Test Procedures ◽  
Scanning Calorimetry ◽  
Target Values

High-throughput screenings are established evaluation methods in the development of functional materials and pharmaceutical active ingredients. The transfer of this approach to the development of structural materials requires extensive adaptations. In addition to the investigation of new test procedures for the determination of material properties and the treatment of metallic materials, the design of experiments is a research focus. Based on given descriptor target values, the statistical design of experiments determines investigations and treatments for the investigation of these materials. In this context, process parameters also have to be determined, as these have a major influence on the later material properties, especially during the treatment of samples. In this article, a method is presented which determines the process parameters iteratively. The validation of the calculated process parameters takes place based on differential scanning calorimetry used as the furnace for the heat treatment of small batches and particle-oriented peening as the characterization method.

scholarly journals Injectable Hydrogels: From Laboratory to Industrialization

Polymers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 650
Author(s):  
Jose Maria Alonso ◽  
Jon Andrade del Olmo ◽  
Raul Perez Gonzalez ◽  
Virginia Saez-Martinez
Keyword(s):  
Industrial Process ◽  
Functional Materials ◽  
Point Of View ◽  
Industrial Scale ◽  
Injectable Hydrogels ◽  
Safety And Efficacy ◽  
Process Validation ◽  
Characterization Techniques ◽  
Hyaluronic Acid Hydrogel ◽  
Lack Of Knowledge

The transfer of some innovative technologies from the laboratory to industrial scale is many times not taken into account in the design and development of some functional materials such as hydrogels to be applied in the biomedical field. There is a lack of knowledge in the scientific field where many aspects of scaling to an industrial process are ignored, and products cannot reach the market. Injectable hydrogels are a good example that we have used in our research to show the different steps needed to follow to get a product in the market based on them. From synthesis and process validation to characterization techniques used and assays performed to ensure the safety and efficacy of the product, following regulation, several well-defined protocols must be adopted. Therefore, this paper summarized all these aspects due to the lack of knowledge that exists about the industrialization of injectable products with the great importance that it entails, and it is intended to serve as a guide on this area to non-initiated scientists. More concretely, in this work, the characteristics and requirements for the development of injectable hydrogels from the laboratory to industrial scale is presented in terms of (i) synthesis techniques employed to obtain injectable hydrogels with tunable desired properties, (ii) the most common characterization techniques to characterize hydrogels, and (iii) the necessary safety and efficacy assays and protocols to industrialize and commercialize injectable hydrogels from the regulatory point of view. Finally, this review also mentioned and explained a real example of the development of a natural hyaluronic acid hydrogel that reached the market as an injectable product.

scholarly journals Introduction to Genomic Analysis Workshop: A catalyst for engaging life-science researchers in high throughput analysis

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1221 ◽  
Author(s):  
Phillip A. Richmond ◽  
Wyeth W. Wasserman
Keyword(s):  
High Throughput ◽  
High Performance ◽  
Life Science ◽  
Genomic Analysis ◽  
High Throughput Analysis ◽  
Time Period ◽  
Research Organizations ◽  
Efficacy Measures ◽  
Training Resources ◽  
Short Time

Researchers in the life sciences are increasingly faced with the task of obtaining compute resources and training to analyze large, high-throughput technology generated datasets. As demand for compute resources has grown, high performance computing (HPC) systems have been implemented by research organizations and international consortiums to support academic researchers. However, life science researchers lack effective time-of-need training resources for utilization of these systems. Current training options have drawbacks that inhibit the effective training of researchers without experience in computational analysis. We identified the need for flexible, centrally-organized, easily accessible, interactive, and compute resource specific training for academic HPC use.  In our delivery of a modular workshop series, we provided foundational training to a group of researchers in a coordinated manner, allowing them to further pursue additional training and analysis on compute resources available to them. Efficacy measures indicate that the material was effectively delivered to a broad audience in a short time period, including both virtual and on-site students. The practical approach to catalyze academic HPC use is amenable to diverse systems worldwide.

Emerging Capabilities for the High-Throughput Characterization of Structural Materials

2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Daniel B. Miracle ◽  
Mu Li ◽  
Zhaohan Zhang ◽  
Rohan Mishra ◽  
Katharine M. Flores
Keyword(s):  
High Throughput ◽  
Materials Science ◽  
Structural Materials ◽  
Rapid Screening ◽  
Annual Review ◽  
Publication Date ◽  
Synthesis Methods ◽  
Alloy Development ◽  
Composition Gradients ◽  
Future Vision

Structural materials have lagged behind other classes in the use of combinatorial and high-throughput (CHT) methods for rapid screening and alloy development. The dual complexities of composition and microstructure are responsible for this, along with the need to produce bulk-like, defect-free materials libraries. This review evaluates recent progress in CHT evaluations for structural materials. High-throughput computations can augment or replace experiments and accelerate data analysis. New synthesis methods, including additive manufacturing, can rapidly produce composition gradients or arrays of discrete alloys-on-demand in bulk form, and new experimental methods have been validated for nearly all essential structural materials properties. The remaining gaps are CHT measurement of bulk tensile strength, ductility, and melting temperature and production of microstructural libraries. A search strategy designed for structural materials gains efficiency by performing two layers of evaluations before addressing microstructure, and this review closes with a future vision of the autonomous, closed-loop CHT exploration of structural materials. Expected final online publication date for the Annual Review of Materials Science, Volume 51 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

The influence of material non-uniformity preceding shear-band formation in a model for granular flow

1997 ◽  
Vol 8 (5) ◽  
pp. 457-483 ◽  
Author(s):  
DAVID G. SCHAEFFER ◽  
MICHAEL SHEARER
Keyword(s):  
Shear Band ◽  
Material Properties ◽  
Shear Banding ◽  
Shear Bands ◽  
Small Variation ◽  
Band Formation ◽  
Time Period ◽  
Single Location ◽  
Change Of Type ◽  
Short Time

The onset of shear-banding in a deforming elastoplastic solid has been linked to change of type of the governing partial differential equations. If uniform material properties are assumed, then (i) deformations prior to shear-banding are uniform, and (ii) the onset of shear-banding occurs simultaneously at all points in the sample. In this paper we study, in the context of a model for anti-plane shearing of a granular material, the effect of a small variation in material properties (e.g. in yield strength) within the sample. Using matched asymptotic expansions, we find that (i) the deformation is extremely non-uniform in a short time period immediately preceding the formation of shear-bands; and (ii) generically, a shear-band forms at a single location in the sample.

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